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NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs Y ao Ni
Generative Adversarial Networks (GANs) are powerful tools for image synthesis.
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
In this study, we explore the potential of state space models (SSMs). Direct application of SSMs in gesture synthesis encounters difficulties, which stem primarily from the diverse movement dynamics of various body parts.
Graph Adversarial Self-Supervised Learning
This paper studies a long-standing problem of learning the representations of a whole graph without human supervision.
Instance-wiseFeatureGrouping
In many learning problems, the domain scientist is often interested in discovering thegroups offeatures that areredundant and areimportant forclassification.
AGeneralizedNeuralTangentKernelAnalysisfor Two-layerNeuralNetworks
Specifically, NTK-based analysis requires that the network weights stay very close to their initialization inthe "node-wise" `2 distancethroughoutthetraining.
